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What is an AI server? Why artificial intelligence needs specialized systems

Network World

The role of AI servers AI servers support all types of real-world use cases across finance, customer service, cybersecurity, manufacturing, healthcare and other industries. Software optimization is crucial : AI servers require optimized software to maximize performance. Related : What is AI networking?

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AI dominates Gartner’s 2025 predictions

CIO Business Intelligence

Artificial Intelligence continues to dominate this week’s Gartner IT Symposium/Xpo, as well as the research firm’s annual predictions list. “It By 2027, 70% of healthcare providers will include emotional-AI-related terms and conditions in technology contracts or risk billions in financial harm.

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What does an AI consultant actually do?

CIO Business Intelligence

Artificial intelligence (AI) has long since arrived in companies. AI consulting: A definition AI consulting involves advising on, designing and implementing artificial intelligence solutions. In this context, collaboration between data engineers, software developers and technical experts is particularly important.

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Why Your Healthcare Organization Should Consider HPE GreenLake for EHR

CIO Business Intelligence

However, legacy methods of running Epic on-premises present a significant operational burden for healthcare providers. In this article, discover how HPE GreenLake for EHR can help healthcare organizations simplify and overcome common challenges to achieve a more cost-effective, scalable, and sustainable solution.

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AI in the C-suite: Using AI to shape business strategy

CIO Business Intelligence

Jeff Schumacher, CEO of artificial intelligence (AI) software company NAX Group, told the World Economic Forum : “To truly realize the promise of AI, businesses must not only adopt it, but also operationalize it.” He is reachable through his website: mtwriting.com.

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Global public cloud spending to hit $805B in 2024 with AI driving growth

Network World

“Looking forward, the cloud model remains incredibly well-positioned to serve customer needs for innovation in application development and deployment, including as data, artificial intelligence/machine learning (AI/ML), and edge needs continue to define the forefront of innovation,” Smith added.

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The future of healthcare: Why enterprises must embrace AI innovation

CIO Business Intelligence

The intersection of AI, software, and data management is set to revolutionize healthcare and will serve as a critical driver of medical innovation and improved patient outcomes. Beyond improved patient outcomes, AI integrated into site reliability engineering can help improve the scalability of software systems.